A conceptual model for integrating zero trust architecture into smart transport systems for enhanced security
1 Kwara State University, Malete, Nigeria.
2 Ericsson Telecommunications Inc., Lagos, Nigeria.
Review
Open Access Research Journal of Multidisciplinary Studies, 2021, 02(01), 158-175.
Article DOI: 10.53022/oarjms.2021.2.1.0047
Publication history:
Received on 08 June 2022; revised on 23 July 2022; accepted on 27 July 2022
Abstract:
The rapid adoption of smart transport systems (STS) underscores the need for robust cybersecurity frameworks to address escalating vulnerabilities in interconnected and automated environments. This paper proposes a conceptual model for integrating Zero Trust Architecture (ZTA) into STS, emphasizing a security paradigm that eliminates implicit trust and continuously verifies every access request. By leveraging ZTA principles, such as least privilege access, micro-segmentation, identity-based authentication, and real-time monitoring, the model aims to safeguard critical transport infrastructure against evolving cyber threats. The proposed framework outlines strategies for integrating ZTA with existing smart transport technologies, including IoT devices, autonomous vehicles, and intelligent traffic management systems, without compromising operational efficiency or user experience. The model highlights three core components: a multi-layered authentication protocol to validate every user and device, dynamic policy enforcement mechanisms for contextual access control, and a threat intelligence system powered by machine learning for proactive risk mitigation. Additionally, this conceptual approach addresses the unique challenges of STS, such as scalability, interoperability, and latency concerns, ensuring that ZTA principles align with the real-time demands of transport networks. Case studies of recent cyberattacks on transport systems further validate the necessity of adopting ZTA to enhance resilience against unauthorized access, data breaches, and ransomware attacks. Moreover, the paper discusses the potential integration of blockchain technology for secure data sharing and the role of artificial intelligence in automating ZTA processes, contributing to the scalability and adaptability of the proposed model. By providing a roadmap for implementing ZTA in STS, the conceptual framework serves as a blueprint for policymakers, engineers, and cybersecurity practitioners seeking to enhance the security of smart transport ecosystems.
Keywords:
Zero Trust Architecture (ZTA); Smart Transport Systems (STS); Cybersecurity; Least Privilege Access; Micro-Segmentation; Identity-Based Authentication; Real-Time Monitoring; IoT Security; Blockchain; Artificial Intelligence
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Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0